[markov chain] reading expected value from the transition matrix

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SUMMARY

The discussion centers on calculating the expected value of the time T when a Markov chain first reaches state e_n, starting from state e_1. The transition matrix M is utilized, and the expected value can be computed using the formula ∑_{k=1}^∞ k (i M^k - i M^{k-1}), where i represents the initial state vector (1, 0, ..., 0). The solution involves modifying the transition matrix to ensure the chain remains in state e_n once it reaches that state.

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rahl___
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Hello there,

yet another trivial problem:
We have a transition matrix of some markov chain: \left[\begin{array}{ccc}e_{11}&...&e_{1n}\\...&...&...\\e_{n1}&...&e_{nn}\end{array}\right].
at the beginning our chain is in the state e_1. let T be the moment, when the chain reaches e_n for the first time. What is the expected value of T?

I've attended the 'stochastic process' course some time ago but the only thing I remember is that this kind of problem is really easy to compute, there is some simple pattern for this I presume.

thanks for your help,
rahl.
 
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I don't think there's an easy answer to that. You can modify the matrix so, the chain will remain in state e_n if it gets there, and compute \sum_{k=1}^\infty k (i M^k - i M^{k-1})

where i is the initial state of (1, 0, ... , 0) and M the transition matrix. You need the last component of this of course.
 

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